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Define the QA strategy and plan for the above mentioned OEMs project.

Identify applicable processes, methods, and standards to be followed (eg, GS_95014, KGAS, ISO/IEC 15504, ISO 26262, ISO 21434, etc.).

Plan reviews, audits, and assessments as per the strategy.

Check whether the project follows defined processes (System, software, mechanical, hardware, testing, change, configuration, problem, risk etc.) as per strategy.

Provide QA support to software process: software requirement analysis, software architectural design, software detailed design and unit construction, software unit verification, software component verification and integration verification, software verification processes.

Monitor compliance with organization-wide and project-specific standards.

Verify that deviations are documented and escalated.

Review work products (requirements, design docs, test cases, code, reports (MISRA, C0, C1, coding standards), etc.).

Check compliance with standards, templates, and checklists.

Ensure that bi-directional traceability exists (e.g., requirements ↔ design ↔ tests).

Give objective evidence (not influenced by delivery pressure) during assessments.

Identify non-conformances (process not followed, missing approvals, wrong standard).

Report deviations and track them until closure.

Verify that corrective actions are implemented (5why, Ishikawa, 8D, FMEA, FTA, DFM, DRP, PCC, LLBP, PDCA).

Provide QA status reports to management and project stakeholders.

Highlight risks related to process non-compliance.

Deliver objective evidence for assessments/audits (e.g., ASPICE, ISO/IEC 15504, ISO 26262, ISO 21434, ISO_PAS_8800).

Collect and analyze QA findings.

Suggest process improvements.

Support lessons learned activities.

Achieved ASPICE Level 1 and Level 2 for multiple Audi and Mercedes-Benz projects assessments.

Introducing 5 different process applications for various teams

Release planning: scope and time management

Resource/capacity planning

Conducting sprint planning / retrospectives

Increment planning (multiple sprints)

Preparing steering committee meetings / reporting to the executive board

Coordinating / aligning with external suppliers / deliveries

Multi-project resource planning

Aligning with the business unit and development team

Identifying best practices with IBM BAW

Cost control and planning for the project team and external service providers

Collecting KPIs using LogScale

Analyzing application errors with LogScale / queries

Defining user stories / aligning requirements with the business unit and development team

Testing and defect tracking

UI/UX design of the application

Preparing and facilitating brown-paper workshop

Test concept, test data, test organization, test execution

Recording team velocity / metrics

Executing tests

Scripts for automated testing

Organizing tests with the business unit and IT

Recording and prioritizing defects

Setting up and operating the application

Setting up application monitoring with LogScale dashboards

Checking health endpoints with PowerShell

Post mortem analysis

Setting up incident management

Setting up problem management

Analyzing errors using LogScale queries and dashboard

Pre-processing data for AI

Conducting evaluation with AI language models (Meta Llama 3.3 LLM and deepset Haystack) and RAG

Installing runtime environments for LLMs (large language model)

Evaluating various LLMs

Installing RAG (retrieval augmented generation) and integrating with LLM

Extracting unstructured data with LLM and RAG

Project based on IBM BAW (Business Automation Workflow), WebSphere Liberty, Domea, d.3, REST, LogScale (formerly Humio), Swagger, PowerShell, JIRA, Confluence, Lucom Interaction Platform (LIP), Mattermost, Jabber